Moderate Your Discord Server using chatGPT-5 & Google Sheets (Learning System)

Description

Discord AI Content Moderator with Learning System

This n8n template demonstrates how to automatically moderate Discord messages using AI-powered content analysis that learns from your community standards. It continuously monitors your server, intelligently flags problematic content while allowing context-appropriate language, and provides a complete audit trail for all moderation actions.

Use cases are many:

Try moderating a forex trading community where enthusiasm runs high, protecting a gaming server from toxic behavior while keeping banter alive, or maintaining professional standards in a business Discord without being overly strict!

Good to know

This workflow uses OpenAI's GPT-5 Mini model which incurs API costs per message analyzed (approximately $0.001-0.003 per moderation check depending on message volume)
The workflow runs every minute by default - adjust the Schedule Trigger interval based on your server activity and budget
Discord API rate limits apply - the batch processor includes 1.5-second delays between deletions to prevent rate limiting
You'll need a Google Sheet to store training examples - a template link is provided in the workflow notes
The AI analyzes context and intent, not just keywords - "I *cking love this community" won't be deleted, but "you guys are sht" will be
Deleted messages cannot be recovered from Discord - the admin notification channel preserves the content for review

How it works

The Schedule Trigger activates every minute to check for new messages requiring moderation
We'll fetch training data from Google Sheets containing labeled examples of messages to delete (with reasons) and messages to keep
The workflow retrieves the last 10 messages from your specified Discord channel using the Discord API
A preparation node formats both the training examples and recent messages into a structured prompt with unique indices for each message
The AI Agent (powered by GPT-5 Mini) analyzes each message against your community standards, considering intent and context rather than just keywords
The AI returns a JSON array of message indices that violate guidelines (e.g., [0, 2, 5])
A parsing node extracts these indices, validates them, removes duplicates, and maps them to actual Discord message objects
The batch processor loops through each flagged message one at a time to prevent API rate limiting and ensure proper error handling
Each message is deleted from Discord using the exact message ID
A 1.5-second wait prevents hitting Discord's rate limits between operations
Finally, an admin notification is posted to your designated admin channel with the deleted message's author, ID, and original content for audit purposes

How to use

Replace the Discord Server ID, Moderated Channel ID, and Admin Channel ID in the "Edit Fields" node with your server's specific IDs
Create a copy of the provided Google Sheets template with columns: message_content, should_delete (YES/NO), and reason
Connect your Discord OAuth2 credentials (requires bot permissions for reading messages, deleting messages, and posting to channels)
Add your OpenAI API key to access GPT-5 Mini
Customize the AI Agent's system message to reflect your specific community standards and tone
Adjust the message fetch limit (default: 10) based on your server activity - higher limits cost more per run but catch more violations
Consider changing the Schedule Trigger from every minute to every 3-5 minutes if you have a smaller community

Requirements

Discord OAuth2 credentials for bot authentication with message read, delete, and send permissions
Google Sheets API connection for accessing the training data knowledge base
OpenAI API key for GPT-5 Mini model access
A Google Sheet formatted with message examples, deletion labels, and reasoning
Discord Server ID, Channel IDs (moderated + admin) which you can get by enabling Developer Mode in Discord

Customising this workflow

Try building an emoji-based feedback system where admins can react to notifications with ✅ (correct deletion) or ❌ (wrong deletion) to automatically update your training data
Add a severity scoring system that issues warnings for minor violations before deleting messages
Implement a user strike system that tracks repeat offenders and automatically applies temporary mutes or bans
Expand the AI prompt to categorize violations (spam, harassment, profanity, etc.) and route different types to different admin channels
Create a weekly digest that summarizes moderation statistics and trending violation types
Add support for monitoring multiple channels by duplicating the Discord message fetch nodes with different channel IDs
Integrate with a database instead of Google Sheets for faster lookups and more sophisticated training data management

If you have questions
Feel free to contact me here:

[email protected]
[email protected]